Search results for: Vladan Papic
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In this paper, we propose a novel approach for an automatic aerial image georeferencing for an unmanned aerial vehicle (UAV) image data acquisition platform that does not require the use of ground control points (GCPs). The determination of GCPs is, in general, a costly and slow process, hence a considerable bottleneck in georeferencing. With predefined route planning and making a mosaic of acquired...
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IEEE Geoscience and Remote Sensing Letters > 2016 > 13 > 11 > 1739 - 1743
In this letter, a system combining compressive sensing (CS)-based image reconstruction and object detection algorithm is introduced. The use of CS is a promising approach for search-and-rescue applications, since it highly reduces the amount of data that needs to be transmitted. However, the high-quality reconstruction of such images is a challenging task due to the complexity of structures and the...
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The aim of saliency object detection algorithms is to find objects in image or video which draw attention of humans at the first sight. This very popular topic in robotics and computer vision research is useful in various areas and applications like object segmentation, adaptive compression, object recognition, visual surveillance and so on. In this paper, we will explore the possibilities of using...
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The discrimination of ECG signals is of crucial importance in clinical diagnoses of cardiac diseases. Manual analysis of ECG signals is very complex and time consuming task due to their composite nature. This paper proposes a novel scheme for reliable automatic classification of ECG signals into normal and three different abnormal (arrhythmia affected) categories. The feature extraction is based on...
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This paper implements and evaluates experimental procedure for mapping images acquired by unmanned aerial vehicles (UAV's). Proposed model requires at least 4 ground control points (GCPs). Aerial images captured using non-metric cameras contain real details of the images. Used non-parametric approach requires a set of corresponding control points obtained from a referenced image and based map. The...
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Journal on Multimodal User Interfaces > 2015 > 9 > 3 > 211-221
This paper presents a novel gesture recognition system using a single three-axis accelerometer, that is to serve as an alternative or supplementary interaction modality for controlling mobile devices. Capturing, training and classification of the detected hand gestures are expected to be executed in their entirety on the mobile device running the proposed system, instead of being passed to a nearby...
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Nowadays, many mobile devices are equipped with built-in inertial sensors. This spurred the research on new forms of communication between man and machines based on the movements or “gestures” performed by the user when holding the device. Here we discuss a gesture recognition system for controlling mobile devices with a wide range of possible practical applications. The system was designed to run...
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Mean shift algorithm is a well established method for image segmentation. It is particularly popular technique due to non-parametric nature which enables efficient segmentation of complex arbitrary shapes. Despite such advantage, high computational complexity still makes it unsuitable for segmentation of high resolution images in time critical applications. This paper introduces a new approach which...
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Object classification is a difficult task in many domains. In this paper we propose a method for pixel classification in water sports domain. We separate luminance from YCbCr color space and define 2D color plane and 3D color space for pixels set classification. 2D color plane classification is based on Euclidean distance while 3D color space classification is based on the use of bivariate histograms...
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Since gestures are a natural form of human expression, gesture-based interfaces can serve as an alternative interaction modality with numerous aspects to be utilized in human computer interaction. In this paper, we address the issue of finding a compact but effective set of features for a robust gesture recognition, using a single 3-axis accelerometer. A novel feature extraction scheme, that allows...
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The need to improve communication between humans and computers has been motivation for defining new communication models, and accordingly, new ways of interacting with machines. In many applications today, user interaction is moving away from traditional keyboards and mouses and is becoming much more physical, pervasive and intuitive. This paper examines hand gestures as an alternative or supplementary...
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Understanding human gestures can be posed as a typical classification problem. Within the computer, gestures are represented as time-varying patterns in feature space. These patterns, though variable, are distinct and have associated meanings. In the absence of a priori knowledge of the underlying class probabilities, classification is performed based on some notion of similarity, e.g. distance, among...
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This paper presents a novel, five layers procedure for non-photorealistic rendering in pointillist style. The first two layers used for production of the final output image constitute background layer which is completed after image segmentation and placement of fixed-size dots. The third layer includes placement of additional dots but this time with variable size and orientation. After enhancement...
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Gestures, such as a wave or a nod, are commonly used in daily lives. While gestures are most often used just as a support for our verbal communication, they can also be used as a sole, simple and effective way of communication. Recent developments in sensor technology, that have reduced the costs of small and precise sensors and allowed them to be built in a growing number of everyday devices, have...
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Expert Systems With Applications > 2009 > 36 > 5 > 8830-8838
This paper presents a fuzzy expert system for scouting and evaluation of young sport talents. Based on the knowledge of several human sport experts, various motoric skills tests, morphologic characteristics measurements and functional tests are quantized according to their importance for a chosen set of sports. Obtained values are entered into the knowledge database along with the grades of the measured...
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Simulation Modelling Practice and Theory > 2004 > 12 > 2 > 159-170
In this article, a procedure for acquisition and processing of the human locomotion system kinematics data is presented. Software for 3D motion analysis system is developed, discussed and described. Data acquisition was performed using two commercial camcorders, framegrabber and a personal computer. Data processing by direct linear transformation provided 3D coordinates of the measured movement. Inaccuracies...
